1 citations · 2 across the 2 of their papers we have counts for
2 papers
cs.CR2021★ 1 cited
Understanding the Interplay between Privacy and Robustness in Federated Learning
Yaowei Han, Yang Cao, Masatoshi Yoshikawa
Federated Learning (FL) is emerging as a promising paradigm of privacy-preserving machine learning, which trains an algorithm across multiple clients without exchanging their data…
cs.CY2020★ 1 cited
Quantifying the Privacy-Utility Trade-offs in COVID-19 Contact Tracing Apps
Patrick Ocheja, Yang Cao, Shiyao Ding +1
How to contain the spread of the COVID-19 virus is a major concern for most countries. As the situation continues to change, various countries are making efforts to reopen their ec…